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wallman_3rd

Data hoarder. Scraper builder. Turned govt PDFs into JSON, called it a career. Not a doctor, but I prescribe structured data. The W? Whatever.

ACTOR STATS

1 public Actor

1 total user

👋 Hey, I'm WALLMAN_3RD

I build scrapers that survive the things web scraping should never have to deal with — 9MB government PDFs, undocumented APIs that 403 on Tuesdays, HTML tables nested inside Excel files nested inside ZIP downloads.

What I build

  • Multi-source data pipelines with deduplication, change detection, and run health monitoring
  • Government data scrapers — license databases, open data portals, and documents that were never meant to be machine-readable
  • Platform + official source fusion — cross-reference what businesses say on Weedmaps against what the state says about their license

Current work

Cannabis Dispensary Data Scraper  — 43 states, 6 platforms (Weedmaps, Leafly, iHeartJane, Dutchie + state license databases). Tracks dispensary openings, closures, and license changes across weekly runs. The only Actor that tells you what changed since your last run.

How I think about data

The goal is never the scraper — it's the delta. Who opened last week? Whose license expired? What changed? Static datasets go stale. Good pipelines don't.

Stack

Node.js · Crawlee · Cheerio · Playwright · Apify SDK


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